SOTAVerified

Speech Recognition

Speech Recognition is the task of converting spoken language into text. It involves recognizing the words spoken in an audio recording and transcribing them into a written format. The goal is to accurately transcribe the speech in real-time or from recorded audio, taking into account factors such as accents, speaking speed, and background noise.

( Image credit: SpecAugment )

Papers

Showing 12511300 of 6433 papers

TitleStatusHype
Beyond Levenshtein: Leveraging Multiple Algorithms for Robust Word Error Rate Computations And Granular Error ClassificationsCode0
Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTubeCode0
Contrastive and Consistency Learning for Neural Noisy-Channel Model in Spoken Language UnderstandingCode0
Conformer-based Target-Speaker Automatic Speech Recognition for Single-Channel AudioCode0
Confidence Score Based Speaker Adaptation of Conformer Speech Recognition SystemsCode0
Conditional independence for pretext task selection in Self-supervised speech representation learningCode0
Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural NetworksCode0
Jasper: An End-to-End Convolutional Neural Acoustic ModelCode0
Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with SubwordsCode0
Joint CTC-Attention based End-to-End Speech Recognition using Multi-task LearningCode0
Complementing Handcrafted Features with Raw Waveform Using a Light-weight Auxiliary ModelCode0
Comparison and Analysis of New Curriculum Criteria for End-to-End ASRCode0
Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics ProcessingCode0
Connectionist Temporal Classification: Labelling Unsegmented Sequence Data with Recurrent Neural NetworksCode0
CoMFLP: Correlation Measure based Fast Search on ASR Layer PruningCode0
Combining Residual Networks with LSTMs for LipreadingCode0
A Deep Relevance Matching Model for Ad-hoc RetrievalCode0
A Comprehensive Evaluation of Incremental Speech Recognition and Diarization for Conversational AICode0
BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech RecognitionCode0
Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of WolofCode0
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic DataCode0
Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short TextsCode0
Connectionist Temporal Classification with Maximum Entropy RegularizationCode0
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural NetworksCode0
Latent Tree Language ModelCode0
Benchmarking Rotary Position Embeddings for Automatic Speech Recognition0
A Neural Morphological Analyzer for Arapaho Verbs Learned from a Finite State Transducer0
Benchmarking LF-MMI, CTC and RNN-T Criteria for Streaming ASR0
Benchmarking Japanese Speech Recognition on ASR-LLM Setups with Multi-Pass Augmented Generative Error Correction0
A neural document language modeling framework for spoken document retrieval0
A Deep Learning based Wearable Healthcare IoT Device for AI-enabled Hearing Assistance Automation0
Benchmarking Foundation Speech and Language Models for Alzheimer's Disease and Related Dementia Detection from Spontaneous Speech0
Benchmarking Evaluation Metrics for Code-Switching Automatic Speech Recognition0
A Neural Acoustic Echo Canceller Optimized Using An Automatic Speech Recognizer And Large Scale Synthetic Data0
Benchmarking Automatic Speech Recognition coupled LLM Modules for Medical Diagnostics0
A network of deep neural networks for distant speech recognition0
A deep-learning based native-language classification by using a latent semantic analysis for the NLI Shared Task 20170
A comprehensive analysis on attention models0
Belief Hidden Markov Model for speech recognition0
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition0
BECTRA: Transducer-based End-to-End ASR with BERT-Enhanced Encoder0
An enhanced automatic speech recognition system for Arabic0
A Deep Learning Approach for Similar Languages, Varieties and Dialects0
'Beach' to 'Bitch': Inadvertent Unsafe Transcription of Kids' Content on YouTube0
BEA-Base: A Benchmark for ASR of Spontaneous Hungarian0
An End-to-End Text-independent Speaker Verification Framework with a Keyword Adversarial Network0
BEA-Base: A Benchmark for ASR of Spontaneous Hungarian0
BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge0
An End-to-End Speech Recognition for the Nepali Language0
A Deep Generative Acoustic Model for Compositional Automatic Speech Recognition0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AmNetWord Error Rate (WER)8.6Unverified
2HMM-(SAT)GMMWord Error Rate (WER)8Unverified
3Local Prior Matching (Large Model)Word Error Rate (WER)7.19Unverified
4SnipsWord Error Rate (WER)6.4Unverified
5Li-GRUWord Error Rate (WER)6.2Unverified
6HMM-DNN + pNorm*Word Error Rate (WER)5.5Unverified
7CTC + policy learningWord Error Rate (WER)5.42Unverified
8Deep Speech 2Word Error Rate (WER)5.33Unverified
9Gated ConvNetsWord Error Rate (WER)4.8Unverified
10HMM-TDNN + iVectorsWord Error Rate (WER)4.8Unverified
#ModelMetricClaimedVerifiedStatus
1Local Prior Matching (Large Model)Word Error Rate (WER)20.84Unverified
2SnipsWord Error Rate (WER)16.5Unverified
3Local Prior Matching (Large Model, ConvLM LM)Word Error Rate (WER)15.28Unverified
4Deep Speech 2Word Error Rate (WER)13.25Unverified
5TDNN + pNorm + speed up/down speechWord Error Rate (WER)12.5Unverified
6CTC-CRF 4gram-LMWord Error Rate (WER)10.65Unverified
7Convolutional Speech RecognitionWord Error Rate (WER)10.47Unverified
8MT4SSLWord Error Rate (WER)9.6Unverified
9Jasper DR 10x5Word Error Rate (WER)8.79Unverified
10EspressoWord Error Rate (WER)8.7Unverified
#ModelMetricClaimedVerifiedStatus
1Deep SpeechPercentage error20Unverified
2DNN-HMMPercentage error18.5Unverified
3CD-DNNPercentage error16.1Unverified
4DNNPercentage error16Unverified
5DNN + DropoutPercentage error15Unverified
6DNN BMMIPercentage error12.9Unverified
7HMM-TDNN + pNorm + speed up/down speechPercentage error12.9Unverified
8DNN MPEPercentage error12.9Unverified
9DNN MMIPercentage error12.9Unverified
10CNN + Bi-RNN + CTC (speech to letters), 25.9% WER if trainedonlyon SWBPercentage error12.6Unverified
#ModelMetricClaimedVerifiedStatus
1LSNNPercentage error33.2Unverified
2LAS multitask with indicators samplingPercentage error20.4Unverified
3Soft Monotonic Attention (ours, offline)Percentage error20.1Unverified
4QCNN-10L-256FMPercentage error19.64Unverified
5Bi-LSTM + skip connections w/ CTCPercentage error17.7Unverified
6Bi-RNN + AttentionPercentage error17.6Unverified
7RNN-CRF on 24(x3) MFSCPercentage error17.3Unverified
8CNN in time and frequency + dropout, 17.6% w/o dropoutPercentage error16.7Unverified
9Light Gated Recurrent UnitsPercentage error16.7Unverified
10GRUPercentage error16.6Unverified
#ModelMetricClaimedVerifiedStatus
1AttWord Error Rate (WER)18.7Unverified
2CTC/AttWord Error Rate (WER)6.7Unverified
3BRA-EWord Error Rate (WER)6.63Unverified
4CTC-CRF 4gram-LMWord Error Rate (WER)6.34Unverified
5BATWord Error Rate (WER)4.97Unverified
6ParaformerWord Error Rate (WER)4.95Unverified
7U2Word Error Rate (WER)4.72Unverified
8UMAWord Error Rate (WER)4.7Unverified
9Lightweight TransducerWord Error Rate (WER)4.31Unverified
10CIF-HKD With LMWord Error Rate (WER)4.1Unverified
#ModelMetricClaimedVerifiedStatus
1Jasper 10x3Word Error Rate (WER)6.9Unverified
2CNN over RAW speech (wav)Word Error Rate (WER)5.6Unverified
3CTC-CRF 4gram-LMWord Error Rate (WER)3.79Unverified
4Deep Speech 2Word Error Rate (WER)3.6Unverified
5test-set on open vocabulary (i.e. harder), model = HMM-DNN + pNorm*Word Error Rate (WER)3.6Unverified
6TC-DNN-BLSTM-DNNWord Error Rate (WER)3.5Unverified
7Convolutional Speech RecognitionWord Error Rate (WER)3.5Unverified
8EspressoWord Error Rate (WER)3.4Unverified
9CTC-CRF VGG-BLSTMWord Error Rate (WER)3.2Unverified
10Transformer with Relaxed AttentionWord Error Rate (WER)3.19Unverified